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Gren, Lucas – IEEE Transactions on Education, 2020
Contribution: A flipped classroom approach to teaching empirical software engineering increases student learning by providing more time for active learning in class. Background: There is a need for longitudinal studies of the flipped classroom approach in general. Although a few cross-sectional studies show that a flipped classroom approach can…
Descriptors: Flipped Classroom, Teaching Methods, Masters Programs, International Education
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Eschenfelder, Mark J.; Bryan, Lois D.; Lee, Tanya – Journal of Case Studies in Accreditation and Assessment, 2010
This paper reports on the perceptions of teaching economists of the nature, implementation and result of outcomes assessment/assurance of learning (AOL) in higher education. The results reported in the paper are based on over eight hundred responses to a web-based survey of teaching economists. While there is little consensus among economists…
Descriptors: Economics Education, Higher Education, Online Surveys, Teacher Attitudes
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Powell, J. P. – Higher Education, 1981
Course evaluations analyzed to discover factors affecting learning indicate that expectations, learning style, and personality are major factors. It is suggested that learning is strongly influenced by these student characteristics and parallel factors in courses and teachers. (MSE)
Descriptors: Academic Achievement, Affective Behavior, Cognitive Style, Course Evaluation
Halpin, Glennelle; Halpin, Gerald – 1980
A review of the literature on the influence of testing on learning and retention reveals the need for more comprehensive research findings in this regard. This study was designed to investigate further the direct effects of tests in contrast with no tests on learning and retention in ongoing college-level classes with both the instructor and the…
Descriptors: Academic Achievement, Course Evaluation, Difficulty Level, Higher Education
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection